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Most mesh denoising techniques utilize only either the facet normal field or the vertex normal field of a mesh surface. The two normal fields, though contain some redundant geometry information of the same model, can provide additional information that the other field lacks. Thus, considering only one normal field is likely to overlook some geometric(More)
  • Jinze Yu
  • 2016 IEEE International Conference on Image…
  • 2016
Intrinsic image decomposition is an important topic in computer vision and computer graphics applications. However, this is a challenging problem by adopting the information of a single image. Therefore, additional priors or supplementary information such as multiply images or user interactions are necessary to address this problem. In this paper, we(More)
Color quantization is a technique for decreasing the color depth of an image. Less number of color means less space is needed for storage. Such kind of algorithms ([Heckbert 1982], [Verevka and Buchanan 1995]) have invoked a big interest in the computer science domain especially for researchers in the network field, since color reduction could benefit(More)
In this paper, we proposed a novel edge-based method for intrinsic image decomposition. To be specific, to address this ill-posed problem via single image, we employed the information of chromaticity gradient to guide recovering the reflectance gradient map, and regularized the Retinex assumption by the &#x2113;<sub>0</sub>-norm to render the reflectance(More)